The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line,y

=b

0

+b

1

x

y^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.

Hours Unsupervised0

01

11.5

1.52

22.5

2.54

44.5

4.5Overall Grades97

9793

9385

8574

7472

7271

7166

66

Table

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Step5of6:Determine if the statement "Not all points predicted by the linear model fall on the same line" is true or false.